Both estimators are unbiased and have similar rootmeansquare errorswhenthetrue covariateisnormal. Witha skewedcovariate, the conventional estimator is biased but has a smaller mean square error than the NPMLE. NPMLE produces substantially improved empirical Bayes predictions of ...
(4) When the sample density measured by PXRF exceeded 7 boreholes/hm 2 , the mean error and root mean square error of CKI continued to decrease, suggesting that the introduction of enough sample density measured by PXRF can effectively improve the accuracy of CKI.Ecotoxicology and Environmental...
Furthermore, the root mean square error of the annual-mean precipitation is reduced by about 20%. Biases of other variables remain similar or in some cases, like upper-atmospheric temperature, increase in the year-long simulations. Key Points Nudging an atmospheric model toward observations is a...
The standard EyeLink 1000 nine-point calibration and validation procedures were used to quantify the accuracy of the artificial eye and socket apparatus. The nine-point validation data indicated high gaze-position accuracy across the display (average mean error M =0.18, SD =0.04; maximum error M ...
In order to evaluate the forecast effectiveness of the model, two indices for error forecast serve as the criteria to evaluate the forecasting performance. They are mean square error (MSE) and mean absolute percent error (MAPE). The values of the indices are smaller and the forecast performance...
Table 6 Type I error of the corrected and uncorrected trend tests and the Pearson's chi-square test (a ¼ 0:01; p1ð0Þ ¼ 0:005; p0ð0Þ ¼ 0:003; e ¼ 0:002; n1 ¼ n0 ¼ 1000; K ¼ 50; 200) P ¼ 0.1 P ¼ 0.2 P ¼ 0.3 P ¼ 0.4 P ¼ ...
Comparison of the results obtained through application of the proposed model, with those generated by Drummonds method shows that, for the case of Bracknell, UK the proposed method gives a root mean square error (RMSE) of 12 W/m(2), as compared to Drummond's figure of 16 W/m(2). ...
[Two measures of sample entropy, Stat. Probab. Lett. 20 (1994), pp. 225234] and Correa [A new estimator of entropy, Commun. Stat. Theory Methods 24 (1995), pp. 24392449] in terms of root mean square error. We then derive the non-parametric distribution function corresponding to our ...
M1, M2, and M3 methods had an average root mean square error (RMSE) ranging from 2.292-17.049 mm, 1.844-18.835 mm, and 1.819-13.608 mm, respectively. The performance of each method tended to decrease as the lead time was extended. The average false alarm ratio (increased from 55.3%, ...
The receiver includes a decoder, a phase error estimator, and a correction unit. The decoder decodes the signal at a plurality of sampling points using a single iteration of sum-product decoding. The phase error estimator estimates a phase error of the signal using minimum mean square error (...